compute_final_model: Compute the final models in sequential mode
In hrvg/RiverML: Machine Learning for River Science
Description
Usage
Arguments
Value
Description
Compute the final models in sequential mode
Usage
1
compute_final_model(learners, tasks, prob, mes, LRN_IDS)
Arguments
learners
a list of mlr learners
tasks
a list of mlr tasks
prob
logical, controls the type of output, if TRUE probabilities, if FALSE response
mes
mlr list of measure to compute while tuning, the learner are tuning against the first element
LRN_IDS
character, vector of learner identifiers (e.g. "classif.randomForest")
Value
a list of model to predict with
hrvg/RiverML documentation built on Oct. 12, 2020, 10:40 a.m.
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Description Usage Arguments Value
Description
Compute the final models in sequential mode
Usage
1 | compute_final_model(learners, tasks, prob, mes, LRN_IDS)
|
Arguments
learners |
a list of |
tasks |
a list of |
prob |
|
mes |
|
LRN_IDS |
|
Value
a list of model to predict with
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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